{
 "cells": [
  {
   "cell_type": "raw",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from IPython.utils import io\n",
    "import sys\n",
    "import pandas as pd\n",
    "import bs4 as bs\n",
    "import urllib2\n",
    "import re\n",
    "import numpy as np\n",
    "import uuid\n",
    "from pdfminer.pdfparser import PDFParser\n",
    "from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter\n",
    "from pdfminer.layout import LAParams\n",
    "from pdfminer.image import ImageWriter\n",
    "from pdfminer.converter import  TextConverter\n",
    "from pdfminer.pdfpage import PDFPage\n",
    "# reload(sys)\n",
    "import pdfx\n",
    "import time\n",
    "# sys.setdefaultencoding('utf-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "http://dx.doi.org/10.1007/978-3-319-46726-9_59\n",
      "648\n"
     ]
    }
   ],
   "source": [
    "urls = np.load(\"miccaiUrls.npy\").tolist()\n",
    "print urls[0]\n",
    "print len(urls)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 2014 \n",
    "addToUrls = [\n",
    "'http://dx.doi.org/10.1007/978-3-319-10470-6_58',\n",
    "'http://dx.doi.org/10.1007/978-3-319-10470-6_39',\n",
    "'http://dx.doi.org/10.1007/978-3-319-10443-0_39',\n",
    "# 2015\n",
    "'https://doi.org/10.1007/978-3-319-24553-9_5',\n",
    "'https://doi.org/10.1007/978-3-319-24553-9_63',\n",
    "'https://doi.org/10.1007/978-3-319-24553-9_69',\n",
    "'https://doi.org/10.1007/978-3-319-24553-9_70',\n",
    "'https://doi.org/10.1007/978-3-319-24553-9_74',\n",
    "'https://doi.org/10.1007/978-3-319-24553-9_83',\n",
    "'https://doi.org/10.1007/978-3-319-24553-9_87',\n",
    "'https://doi.org/10.1007/978-3-319-24571-3_3',\n",
    "'https://doi.org/10.1007/978-3-319-24571-3_9',\n",
    "'https://doi.org/10.1007/978-3-319-24574-4_1',\n",
    "'https://doi.org/10.1007/978-3-319-24574-4_27',\n",
    "'https://doi.org/10.1007/978-3-319-24574-4_78',\n",
    "'https://doi.org/10.1007/978-3-319-24574-4_80',\n",
    "'https://doi.org/10.1007/978-3-319-24574-4_81',\n",
    "'https://doi.org/10.1007/978-3-319-24553-9_72',\n",
    "'https://doi.org/10.1007/978-3-319-24571-3_8',\n",
    "'https://doi.org/10.1007/978-3-319-24574-4_28',\n",
    "'https://doi.org/10.1007/978-3-319-24574-4_43',\n",
    "'https://doi.org/10.1007/978-3-319-24553-9_62']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "670"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "urls.extend(addToUrls)\n",
    "len(urls)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "http://dx.doi.org/10.1007/978-3-319-46726-9_59\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ahmed/Dropbox/DFCI/08_radiomics.io/venvradiomicsio/local/lib/python2.7/site-packages/bs4/__init__.py:181: UserWarning: No parser was explicitly specified, so I'm using the best available HTML parser for this system (\"html.parser\"). This usually isn't a problem, but if you run this code on another system, or in a different virtual environment, it may use a different parser and behave differently.\n",
      "\n",
      "The code that caused this warning is on line 174 of the file /usr/lib/python2.7/runpy.py. To get rid of this warning, change code that looks like this:\n",
      "\n",
      " BeautifulSoup(YOUR_MARKUP})\n",
      "\n",
      "to this:\n",
      "\n",
      " BeautifulSoup(YOUR_MARKUP, \"html.parser\")\n",
      "\n",
      "  markup_type=markup_type))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimisation of Arterial Spin Labelling Using Bayesian Experimental Design\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_58\n",
      "Fast and Accurate Multi-tissue Deconvolution Using SHORE and H-psd Tensors\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_53\n",
      "Semantic Reconstruction-Based Nuclear Cataract Grading from Slit-Lamp Lens Images\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_52\n",
      "3D Imaging from Video and Planar Radiography\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_51\n",
      "Axial Alignment for Anterior Segment Swept Source Optical Coherence Tomography via Robust Low-Rank Tensor Recovery\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_50\n",
      "Deep Learning Computed Tomography\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_57\n",
      "Dynamic Volume Reconstruction from Multi-slice Abdominal MRI Using Manifold Alignment\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_56\n",
      "Compressed Sensing Dynamic MRI Reconstruction Using GPU-accelerated 3D Convolutional Sparse Coding\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_55\n",
      "Spatial-Angular Sparse Coding for HARDI\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_54\n",
      "Vessel Orientation Constrained Quantitative Susceptibility Mapping (QSM) Reconstruction\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_27\n",
      "An Artificial Agent for Anatomical Landmark Detection in Medical Images\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_22\n",
      "Hierarchical Clustering of Tractography Streamlines Based on Anatomical Similarity\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_23\n",
      "Unsupervised Identification of Clinically Relevant Clusters in Routine Imaging Data\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_20\n",
      "Label-Informed Non-negative Matrix Factorization with Manifold Regularization for Discriminative Subnetwork Detection\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_21\n",
      "Predictive Subnetwork Extraction with Structural Priors for Infant Connectomes\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_26\n",
      "Learning-Based Topological Correction for Infant Cortical Surfaces\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_27\n",
      "Riemannian Metric Optimization for Connectivity-Driven Surface Mapping\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_24\n",
      "Probabilistic Tractography for Topographically Organized Connectomes\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_25\n",
      "A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_62\n",
      "Globally Optimal Label Fusion with Shape Priors\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_63\n",
      "Joint Segmentation and CT Synthesis for MRI-only Radiotherapy Treatment Planning\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_28\n",
      "Riemannian Statistical Analysis of Cortical Geometry with Robustness to Partial Homology and Misalignment\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_29\n",
      "Modeling Fetal Cortical Expansion Using Graph-Regularized Gompertz Models\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_66\n",
      "7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_67\n",
      "Multivariate Mixture Model for Cardiac Segmentation from Multi-Sequence MRI\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_64\n",
      "Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_65\n",
      "Accounting for the Confound of Meninges in Segmenting Entorhinal and Perirhinal Cortices in T1-Weighted MRI\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_5\n",
      "Inertial Demons: A Momentum-Based Diffeomorphic Registration Framework\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_24\n",
      "Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_79\n",
      "A Hierarchical Convolutional Neural Network for Mitosis Detection in Phase-Contrast Microscopy Images\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_78\n",
      "Detecting 10,000 Cells in One Second\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_28\n",
      "Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_29\n",
      "Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_26\n",
      "Soft Multi-organ Shape Models via Generalized PCA: A General Framework\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_25\n",
      "3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_24\n",
      "Direct Estimation of Wall Shear Stress from Aneurysmal Morphology: A Statistical Approach\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_25\n",
      "Multi-task Shape Regression for Medical Image Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_22\n",
      "Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_23\n",
      "Hierarchical Generative Modeling and Monte-Carlo EM in Riemannian Shape Space for Hypothesis Testing\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_20\n",
      "Low-Dimensional Statistics of Anatomical Variability via Compact Representation of Image Deformations\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_21\n",
      "A Multiscale Cardiac Model for Fast Personalisation and Exploitation\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_31\n",
      "Early Diagnosis of Alzheimers Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_30\n",
      "Longitudinal Analysis of the Preterm Cortex Using Multi-modal Spectral Matching\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_33\n",
      "Joint Data Harmonization and Group Cardinality Constrained Classification\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_32\n",
      "Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimers Disease\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_35\n",
      "Structured Outlier Detection in Neuroimaging Studies with Minimal Convex Polytopes\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_34\n",
      "Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_37\n",
      "New Multi-task Learning Model to Predict Alzheimers Disease Cognitive Assessment\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_36\n",
      "Diagnosis of Alzheimers Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_39\n",
      "Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimers Disease Across Multiple Institutions\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_38\n",
      "Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimers Disease in Mild Cognitive Impairment\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_73\n",
      "Cutting Out the Middleman: Measuring Nuclear Area in Histopathology Slides Without Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_72\n",
      "Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung Study\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_75\n",
      "Imaging Biomarker Discovery for Lung Cancer Survival Prediction\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_74\n",
      "Subtype Cell Detection with an Accelerated Deep Convolution Neural Network\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_77\n",
      "Detection of Differentiated vs. Undifferentiated Colonies of iPS Cells Using Random Forests Modeled with the Multivariate Polya Distribution\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_76\n",
      "3D Segmentation of Glial Cells Using Fully Convolutional Networks and k-Terminal Cut\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_71\n",
      "Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_14\n",
      "Embedding Segmented Volume in Finite Element Mesh with Topology Preservation\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_70\n",
      "Multiple Object Segmentation and Tracking by Bayes Risk Minimization\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_11\n",
      "Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_39\n",
      "From Real MRA to Virtual MRA: Towards an Open-Source Framework\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_38\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vascular Registration in Photoacoustic Imaging by Low-Rank Alignment via Foreground, Background and Complement Decomposition\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_35\n",
      "Barycentric Subspace Analysis: A New Symmetric Group-Wise Paradigm for Cardiac Motion Tracking\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_34\n",
      "Reconstruction of Coronary Artery Centrelines from X-Ray Angiography Using a Mixture of Students t-Distributions\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_37\n",
      "Coronary Centerline Extraction via Optimal Flow Paths and CNN Path Pruning\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_36\n",
      "Extraction of Coronary Vessels in Fluoroscopic X-Ray Sequences Using Vessel Correspondence Optimization\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_31\n",
      "Recognizing End-Diastole and End-Systole Frames via Deep Temporal Regression Network\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_30\n",
      "GPNLPerf: Robust 4d Non-rigid Motion Correction for Myocardial Perfusion Analysis\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_33\n",
      "Spatially-Adaptive Multi-scale Optimization for Local Parameter Estimation: Application in Cardiac Electrophysiological Models\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_32\n",
      "Basal Slice Detection Using Long-Axis Segmentation for Cardiac Analysis\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_44\n",
      "A Surface Patch-Based Segmentation Method for Hippocampal Subfields\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_45\n",
      "Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_46\n",
      "Evaluation-Oriented Training via Surrogate Metrics for Multiple Sclerosis Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_47\n",
      "Corpus Callosum Segmentation in Brain MRIs via Robust Target-Localization and Joint Supervised Feature Extraction and Prediction\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_40\n",
      "Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_41\n",
      "Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_42\n",
      "Orientation-Sensitive Overlap Measures for the Validation of Medical Image Segmentations\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_43\n",
      "High-Throughput Glomeruli Analysis of \\(\\mu \\)CT Kidney Images Using Tree Priors and Scalable Sparse Computation\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_48\n",
      "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_49\n",
      "3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_72\n",
      "Comprehensive Maximum Likelihood Estimation of Diffusion Compartment Models Towards Reliable Mapping of Brain Microstructure\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_19\n",
      "Myocardial Segmentation of Contrast Echocardiograms Using Random Forests Guided by Shape Model\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_18\n",
      "Quantifying Shape Deformations by Variation of Geometric Spectrum\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_30\n",
      "Graphical Modeling of Ultrasound Propagation in Tissue for Automatic Bone Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_15\n",
      "Deformable 3D-2D Registration of Known Components for Image Guidance in Spine Surgery\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_68\n",
      "Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_69\n",
      "Multi-organ Segmentation Using Vantage Point Forests and Binary Context Features\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_53\n",
      "Topology Aware Fully Convolutional Networks for Histology Gland Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_52\n",
      "Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_51\n",
      "Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_50\n",
      "Model-Based Segmentation of Vertebral Bodies from MR Images with 3D CNNs\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_57\n",
      "Gland Instance Segmentation by Deep Multichannel Side Supervision\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_56\n",
      "Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_55\n",
      "Deep Learning for Multi-task Medical Image Segmentation in Multiple Modalities\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_54\n",
      "HeMIS: Hetero-Modal Image Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_7\n",
      "Temporal Registration in In-Utero Volumetric MRI Time Series\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_6\n",
      "Diffeomorphic Density Registration in Thoracic Computed Tomography\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_59\n",
      "Feature Sensitive Label Fusion with Random Walker for Atlas-Based Image Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_58\n",
      "Enhanced Probabilistic Label Fusion by Estimating Label Confidences Through Discriminative Learning\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_3\n",
      "Learning Optimization Updates for Multimodal Registration\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_2\n",
      "A Deep Metric for Multimodal Registration\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_1\n",
      "Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_60\n",
      "Deep Fusion Net for Multi-atlas Segmentation: Application to Cardiac MR Images\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_61\n",
      "Prior-Based Coregistration and Cosegmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_17\n",
      "A Multi-resolution T-Mixture Model Approach to Robust Group-Wise Alignment of Shapes\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_16\n",
      "Anatomically Constrained Video-CT Registration via the V-IMLOP Algorithm\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_19\n",
      "A Continuous Model of Cortical Connectivity\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_18\n",
      "GraMPa: Graph-Based Multi-modal Parcellation of the Cortex Using Fusion Moves\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_13\n",
      "Accuracy Estimation for Medical Image Registration Using Regression Forests\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_12\n",
      "Carotid Artery Wall Motion Estimated from Ultrasound Imaging Sequences Using a Nonlinear State Space Approach\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_11\n",
      "Model-Based Regularisation for Respiratory Motion Estimation with Sparse Features in Image-Guided Interventions\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_10\n",
      "Bilateral Weighted Adaptive Local Similarity Measure for Registration in Neurosurgery\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_13\n",
      "Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_12\n",
      "Fiber Orientation Estimation Using Nonlocal and Local Information\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_11\n",
      "Extracting the Core Structural Connectivity Network: Guaranteeing Network Connectedness Through a Graph-Theoretical Approach\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_10\n",
      "Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-Sectional Multi-site MRI\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_17\n",
      "Effective Brain Connectivity Through a Constrained Autoregressive Model\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_16\n",
      "Modularity Reinforcement for Improving Brain Subnetwork Extraction\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_15\n",
      "Species Preserved and Exclusive Structural Connections Revealed by Sparse CCA\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_14\n",
      "Boundary Mapping Through Manifold Learning for Connectivity-Based Cortical Parcellation\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_68\n",
      "Photoacoustic Imaging Paradigm Shift: Towards Using Vendor-Independent Ultrasound Scanners\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_69\n",
      "4D Reconstruction of Fetal Heart Ultrasound Images in Presence of Fetal Motion\n"
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      "Hand-Held Sound-Speed Imaging Based on Ultrasound Reflector Delineation\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_67\n",
      "Ultrasound Tomosynthesis: A New Paradigm for Quantitative Imaging of the Prostate\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_64\n",
      "Recognizing Surgical Activities with Recurrent Neural Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_65\n",
      "Two-Stage Simulation Method to Improve Facial Soft Tissue Prediction Accuracy for Orthognathic Surgery\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_62\n",
      "Pareto Front vs. Weighted Sum for Automatic Trajectory Planning of Deep Brain Stimulation\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_63\n",
      "Efficient Anatomy Driven Automated Multiple Trajectory Planning for Intracranial Electrode Implantation\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_60\n",
      "2D-3D Registration Accuracy Estimation for Optimised Planning of Image-Guided Pancreatobiliary Interventions\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_61\n",
      "Registration-Free Simultaneous Catheter and Environment Modelling\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_26\n",
      "From Local to Global Random Regression Forests: Exploring Anatomical Landmark Localization\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_27\n",
      "Regressing Heatmaps for Multiple Landmark Localization Using CNNs\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_9\n",
      "Integrative Analysis of Cellular Morphometric Context Reveals Clinically Relevant Signatures in Lower Grade Glioma\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_8\n",
      "Discover Mouse Gene Coexpression Landscape Using Dictionary Learning and Sparse Coding\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_22\n",
      "Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_23\n",
      "Automated Age Estimation from Hand MRI Volumes Using Deep Learning\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_20\n",
      "SpineNet: Automatically Pinpointing Classification Evidence in Spinal MRIs\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_21\n",
      "A Deep Learning Approach for Semantic Segmentation in Histology Tissue Images\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_3\n",
      "Modeling Functional Dynamics of Cortical Gyri and Sulci\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_2\n",
      "Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-Scale Dataset\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_1\n",
      "Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_7\n",
      "Exploring Brain Networks via Structured Sparse Representation of fMRI Data\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_6\n",
      "Temporal Concatenated Sparse Coding of Resting State fMRI Data Reveal Network Interaction Changes in mTBI\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_5\n",
      "Correlation-Weighted Sparse Group Representation for Brain Network Construction in MCI Classification\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_4\n",
      "A Multi-stage Sparse Coding Framework to Explore the Effects of Prenatal Alcohol Exposure\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_62\n",
      "Correction of Fat-Water Swaps in Dixon MRI\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_63\n",
      "Motion-Robust Reconstruction Based on Simultaneous Multi-slice Registration for Diffusion-Weighted MRI of Moving Subjects\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_60\n",
      "4D Phase-Contrast Magnetic Resonance CardioAngiography (4D PC-MRCA) Creation from 4D Flow MRI\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_61\n",
      "Joint Estimation of Cardiac Motion and \\(T_1^*\\) Maps for Magnetic Resonance Late Gadolinium Enhancement Imaging\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_66\n",
      "A Bayesian Model to Assess \\(T_2\\) Values and Their Changes Over Time in Quantitative MRI\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_67\n",
      "Simultaneous Parameter Mapping, Modality Synthesis, and Anatomical Labeling of the Brain with MR Fingerprinting\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_64\n",
      "Self Super-Resolution for Magnetic Resonance Images\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_65\n",
      "Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_68\n",
      "XQ-NLM: Denoising Diffusion MRI Data via x-q Space Non-local Patch Matching\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_69\n",
      "Spatially Adaptive Spectral Denoising for MR Spectroscopic Imaging using Frequency-Phase Non-local Means\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_71\n",
      "A Promising Non-invasive CAD System for Kidney Function Assessment\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_19\n",
      "Deep Neural Networks for Fast Segmentation of 3D Medical Images\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_70\n",
      "Beyond the Resolution Limit: Diffusion Parameter Estimation in Partial Volume\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_75\n",
      "Prostate Cancer: Improved Tissue Characterization by Temporal Modeling of Radio-Frequency Ultrasound Echo Data\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_74\n",
      "Automatic Determination of Hormone Receptor Status in Breast Cancer Using Thermography\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_77\n",
      "Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_76\n",
      "Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_71\n",
      "Image-Based Computer-Aided Diagnostic System for Early Diagnosis of Prostate Cancer\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_70\n",
      "Towards Reliable Automatic Characterization of Neonatal Hip Dysplasia from 3D Ultrasound Images\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_73\n",
      "Classification of Prostate Cancer Grades and T-Stages Based on Tissue Elasticity Using Medical Image Analysis\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_72\n",
      "Multidimensional Texture Analysis for Improved Prediction of Ultrasound Liver Tumor Response to Chemotherapy Treatment\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_35\n",
      "A Cross-Modality Neural Network Transform for Semi-automatic Medical Image Annotation\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_34\n",
      "Automatic Quality Control for Population Imaging: A Generic Unsupervised Approach\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_37\n",
      "Vision-Based Classification of Developmental Disorders Using Eye-Movements\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_36\n",
      "Sub-category Classifiers for Multiple-instance Learning and Its Application to Retinal Nerve Fiber Layer Visibility Classification\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_31\n",
      "Bayesian Image Quality Transfer\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_28\n",
      "Self-Transfer Learning for Weakly Supervised Lesion Localization\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_33\n",
      "A Learning-Free Approach to Whole Spine Vertebra Localization in MRI\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_32\n",
      "Wavelet Appearance Pyramids for Landmark Detection and Pathology Classification: Application to Lumbar Spinal Stenosis\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_29\n",
      "Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_39\n",
      "Automated Diagnosis of Neural Foraminal Stenosis Using Synchronized Superpixels Representation\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_38\n",
      "Scalable Unsupervised Domain Adaptation for Electron Microscopy\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_4\n",
      "Memory Efficient LDDMM for Lung CT\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_7\n",
      "Bridging Computational Features Toward Multiple Semantic Features with Multi-task Regression: A Study of CT Pulmonary Nodules\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_6\n",
      "Differential Dementia Diagnosis on Incomplete Data with Latent Trees\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_5\n",
      "Mammographic Mass Segmentation with Online Learned Shape and Appearance Priors\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_4\n",
      "Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_3\n",
      "Ensemble Hierarchical High-Order Functional Connectivity Networks for MCI Classification\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_2\n",
      "Identifying Relationships in Functional and Structural Connectome Data Using a Hypergraph Learning Method\n"
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      "Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinsons Disease\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_10\n",
      "Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimers Disease Diagnosis\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_9\n",
      "Structured Sparse Kernel Learning for Imaging Genetics Based Alzheimers Disease Diagnosis\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_8\n",
      "Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_48\n",
      "Structure-Aware Rank-1 Tensor Approximation for Curvilinear Structure Tracking Using Learned Hierarchical Features\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_49\n",
      "Real-Time Online Adaption for Robust Instrument Tracking and Pose Estimation\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_18\n",
      "3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_40\n",
      "Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_41\n",
      "3D Ultrasonic Needle Tracking with a 1.5D Transducer Array for Guidance of Fetal Interventions\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_42\n",
      "Enhancement of Needle Tip and Shaft from 2D Ultrasound Using Signal Transmission Maps\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_43\n",
      "Plane Assist: The Influence of Haptics on Ultrasound-Based Needle Guidance\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_44\n",
      "A Surgical Guidance System for Big-Bubble Deep Anterior Lamellar Keratoplasty\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_45\n",
      "Real-Time 3D Tracking of Articulated Tools for Robotic Surgery\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_46\n",
      "Towards Automated Ultrasound Transesophageal Echocardiography and X-Ray Fluoroscopy Fusion Using an Image-Based Co-registration Method\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_47\n",
      "Robust, Real-Time, Dense and Deformable 3D Organ Tracking in Laparoscopic Videos\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_9\n",
      "Deformation Estimation with Automatic Sliding Boundary Computation\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_48\n",
      "Probe-Based Rapid Hybrid Hyperspectral and Tissue Surface Imaging Aided by Fully Convolutional Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_49\n",
      "Efficient Low-Dose CT Denoising by Locally-Consistent Non-Local Means (LC-NLM)\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_44\n",
      "HALE: Healthy Area of Lumen Estimation for Vessel Stenosis Quantification\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_45\n",
      "3D Near Infrared and Ultrasound Imaging of Peripheral Blood Vessels for Real-Time Localization and Needle Guidance\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_46\n",
      "The Minimum Cost Connected Subgraph Problem in Medical Image Analysis\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_47\n",
      "ASL-incorporated Pharmacokinetic Modelling of PET Data With Reduced Acquisition Time: Application to Amyloid Imaging\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_40\n",
      "Improved Diagnosis of Systemic Sclerosis Using Nailfold Capillary Flow\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_41\n",
      "Tensor-Based Graph-Cut in Riemannian Metric Space and Its Application to Renal Artery Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_42\n",
      "Automatic, Robust, and Globally Optimal Segmentation of Tubular Structures\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_43\n",
      "Dense Volume-to-Volume Vascular Boundary Detection\n",
      "http://dx.doi.org/10.1007/978-3-319-46726-9_8\n",
      "Probabilistic Atlas of the Human Hippocampus Combining Ex Vivo MRI and Histology\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_57\n",
      "Patient MoCap: Human Pose Estimation Under Blanket Occlusion for Hospital Monitoring Applications\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_56\n",
      "Process Monitoring in the Intensive Care Unit: Assessing Patient Mobility Through Activity Analysis with a Non-Invasive Mobility Sensor\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_55\n",
      "Bioelectric Navigation: A New Paradigm for Intravascular Device Guidance\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_54\n",
      "Bone Enhancement in Ultrasound Based on 3D Local Spectrum Variation for Percutaneous Scaphoid Fracture Fixation\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_53\n",
      "Kalman Filter Based Data Fusion for Needle Deflection Estimation Using Optical-EM Sensor\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_52\n",
      "Robust Image Descriptors for Real-Time Inter-Examination Retargeting in Gastrointestinal Endoscopy\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_51\n",
      "The Endoscopogram: A 3D Model Reconstructed from Endoscopic Video Frames\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_50\n",
      "Integrated Dynamic Shape Tracking and RF Speckle Tracking for Cardiac Motion Analysis\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_17\n",
      "Deep Retinal Image Understanding\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_16\n",
      "DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_15\n",
      "Learning from Experts: Developing Transferable Deep Features for Patient-Level Lung Cancer Prediction\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_14\n",
      "Multimodal Deep Learning for Cervical Dysplasia Diagnosis\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_13\n",
      "The Automated Learning of Deep Features for Breast Mass Classification from Mammograms\n",
      "http://dx.doi.org/10.1007/978-3-319-46723-8_12\n",
      "Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_59\n",
      "Meaningful Assessment of Surgical Expertise: Semantic Labeling with Data and Crowds\n",
      "http://dx.doi.org/10.1007/978-3-319-46720-7_58\n",
      "Numerical Simulation of Cochlear-Implant Surgery: Towards Patient-Specific Planning\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_38\n",
      "BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_36\n",
      "Semi-supervised Deep Learning for Fully Convolutional Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_8\n",
      "Unsupervised Feature Learning for Endomicroscopy Image Retrieval\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_52\n",
      "Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_71\n",
      "Deep Learning for Sensorless 3D Freehand Ultrasound Imaging\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_68\n",
      "Learning-Based Ensemble Average Propagator Estimation\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_69\n",
      "A Sparse Bayesian Learning Algorithm for White Matter Parameter Estimation from Compressed Multi-shell Diffusion MRI\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_70\n",
      "Motion-Compensated Autonomous Scanning for Tumour Localisation Using Intraoperative Ultrasound\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_62\n",
      "Learn to Track: Deep Learning for Tractography\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_63\n",
      "FiberNET: An Ensemble Deep Learning Framework for Clustering White Matter Fibers\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_60\n",
      "Dynamic Field Mapping and Motion Correction Using Interleaved Double Spin-Echo Diffusion MRI\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_61\n",
      "A Novel Anatomically-Constrained Global Tractography Approach to Monitor Sharp Turns in Gyri\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_66\n",
      "Fiber Orientation Estimation Guided by a Deep Network\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_67\n",
      "FOD Restoration for Enhanced Mapping of White Matter Lesion Connectivity\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_64\n",
      "Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography Analysis\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_65\n",
      "White Matter Fiber Representation Using Continuous Dictionary Learning\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_72\n",
      "Ultrasonic Needle Tracking with a Fibre-Optic Ultrasound Transmitter for Guidance of Minimally Invasive Fetal Surgery\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_62\n",
      "Image-Driven Stochastic Identification of Boundary Conditions for Predictive Simulation\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_10\n",
      "Liver Tissue Classification in Patients with Hepatocellular Carcinoma by Fusing Structured and Rotationally Invariant Context Representation\n"
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      "Concurrent Segmentation and Localization for Tracking of Surgical Instruments\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_40\n",
      "Robust Multi-modal MR Image Synthesis\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_23\n",
      "Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimers Disease\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_74\n",
      "An Approach for Needle Based Optical Coherence Elastography Measurements\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_77\n",
      "Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_76\n",
      "Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_75\n",
      "Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_49\n",
      "Joint Detection and Diagnosis of Prostate Cancer in Multi-parametric MRI Based on Multimodal Convolutional Neural Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_73\n",
      "CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_77\n",
      "Precise Ultrasound Bone Registration with Learning-Based Segmentation and Speed of Sound Calibration\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_71\n",
      "Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_27\n",
      "Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_85\n",
      "Data-Driven Rank Aggregation with Application to Grand Challenges\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_76\n",
      "Surgical Soundtracks: Towards Automatic Musical Augmentation of Surgical Procedures\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_79\n",
      "Does Manual Delineation only Provide the Side Information in CT Prostate Segmentation?\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_14\n",
      "MRI-Based Surgical Planning for Lumbar Spinal Stenosis\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_2\n",
      "Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_63\n",
      "Toward Computer-Assisted Planning for Interstitial Laser Ablation of Malignant Brain Tumors Using a Tubular Continuum Robot\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_5\n",
      "A Multi-armed Bandit to Smartly Select a Training Set from Big Medical Data\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_4\n",
      "Latent Processes Governing Neuroanatomical Change in Aging and Dementia\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_79\n",
      "A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_78\n",
      "TBS: Tensor-Based Supervoxels for Unfolding the Heart\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_7\n",
      "An Unbiased Penalty for Sparse Classification with Application to Neuroimaging Data\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_71\n",
      "q-Space Upsampling Using x-q Space Regularization\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_70\n",
      "Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_73\n",
      "Gray Matter Surface Based Spatial Statistics (GS-BSS) in Diffusion Microstructure\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_72\n",
      "Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_75\n",
      "Patient-Specific Skeletal Muscle Fiber Modeling from Structure Tensor Field of Clinical CT Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_74\n",
      "A Bag-of-Features Approach to Predicting TMS Language Mapping Results from DSI Tractography\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_77\n",
      "Denoising Moving Heart Wall Fibers Using Cartan Frames\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_76\n",
      "Revealing Hidden Potentials of the q-Space Signal in Breast Cancer\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_60\n",
      "An Optimal Control Approach for High Intensity Focused Ultrasound Self-Scanning Treatment Planning\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_57\n",
      "Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_68\n",
      "Real-Time 3D Ultrasound Reconstruction and Visualization in the Context of Laparoscopy\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_47\n",
      "Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_6\n",
      "Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_21\n",
      "Spectral Graph Convolutions for Population-Based Disease Prediction\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_69\n",
      "Improving Needle Detection in 3D Ultrasound Using Orthogonal-Plane Convolutional Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_44\n",
      "Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_44\n",
      "N-way Decomposition: Towards Linking Concurrent EEG and fMRI Analysis During Natural Stimulus\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_45\n",
      "Connectome-Based Pattern Learning Predicts Histology and Surgical Outcome of Epileptogenic Malformations of Cortical Development\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_46\n",
      "Joint Representation of Connectome-Scale Structural and Functional Profiles for Identification of Consistent Cortical Landmarks in Human Brains\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_47\n",
      "Subject-Specific Structural Parcellations Based on Randomized AB-divergences\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_40\n",
      "Robust Non-rigid Registration Through Agent-Based Action Learning\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_41\n",
      "Selecting the Optimal Sequence for Deformable Registration of Microscopy Image Sequences Using Two-Stage MST-based Clustering Algorithm\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_42\n",
      "Dynamic Regression for Partial Correlation and Causality Analysis of Functional Brain Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_43\n",
      "Kernel-Regularized ICA for Computing Functional Topography from Resting-State fMRI\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_48\n",
      "Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_49\n",
      "Multi-way Regression Reveals Backbone of Macaque Structural Brain Connectivity in Longitudinal Datasets\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_55\n",
      "A Time Saver: Optimization Approach for the Fully Automatic 3D Planning of Forearm Osteotomies\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_61\n",
      "A Mixed-Reality Approach to Radiation-Free Training of C-arm Based Surgery\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_46\n",
      "Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_66\n",
      "Deep Neural Networks Predict Remaining Surgery Duration from Cholecystectomy Videos\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_45\n",
      "Synergistic Combination of Learned and Hand-Crafted Features for Prostate Lesion Classification in Multiparametric Magnetic Resonance Imaging\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_67\n",
      "UV Exposed Optical Fibers with Frequency Domain Reflectometry for Device Tracking in Intra-arterial Procedures\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_11\n",
      "DOTE: Dual cOnvolutional filTer lEarning for Super-Resolution and Cross-Modality Synthesis in MRI\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_80\n",
      "OptiC: Robust and Automatic Spinal Cord Localization on a Large Variety of MRI Data Using a Distance Transform Based Global Optimization\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_13\n",
      "GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_12\n",
      "Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_15\n",
      "Pattern Visualization and Recognition Using Tensor Factorization for Early Differential Diagnosis of Parkinsonism\n"
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      "http://dx.doi.org/10.1007/978-3-319-66185-8_64\n",
      "Providing Effective Real-Time Feedback in Simulation-Based Surgical Training\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_17\n",
      "Segmentation of Cortical and Subcortical Multiple Sclerosis Lesions Based on Constrained Partial Volume Modeling\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_16\n",
      "Physiological Parameter Estimation from Multispectral Images Unleashed\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_19\n",
      "Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_18\n",
      "Classification of Pancreatic Cysts in Computed Tomography Images Using a Random Forest and Convolutional Neural Network Ensemble\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_65\n",
      "Fully Automatic and Real-Time Catheter Segmentation in X-Ray Fluoroscopy\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_54\n",
      "Locally Affine Diffeomorphic Surface Registration for Planning of Metopic Craniosynostosis Surgery\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_14\n",
      "Quality Assessment of Retinal Hyperspectral Images Using SURF and Intensity Features\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_48\n",
      "Medical Image Synthesis with Context-Aware Generative Adversarial Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_34\n",
      "Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_42\n",
      "Clinical Target-Volume Delineation in Prostate Brachytherapy Using Residual Neural Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_22\n",
      "Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain Representation\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_37\n",
      "Learning-Based Spatiotemporal Regularization and Integration of Tracking Methods for Regional 4D Cardiac Deformation Analysis\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_81\n",
      "Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_53\n",
      "Population-Shrinkage of Covariance to Estimate Better Brain Functional Connectivity\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_52\n",
      "Statistical Learning of Spatiotemporal Patterns from Longitudinal Manifold-Valued Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_51\n",
      "Multi-modal EEG and fMRI Source Estimation Using Sparse Constraints\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_50\n",
      "Multimodal Hyper-connectivity Networks for MCI Classification\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_57\n",
      "Supervised Discriminative EEG Brain Source Imaging with Graph Regularization\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_56\n",
      "BrainSync: An Orthogonal Transformation for Synchronization of fMRI Data Across Subjects\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_55\n",
      "A Submodular Approach to Create Individualized Parcellations of the Human Brain\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_54\n",
      "Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_31\n",
      "Efficient Deformable Motion Correction for 3-D Abdominal MRI Using Manifold Regression\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_59\n",
      "Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_58\n",
      "Inference and Visualization of Information Flow in the Visual Pathway Using dMRI and EEG\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_82\n",
      "Online Statistical Inference for Large-Scale Binary Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_30\n",
      "A Localized Statistical Motion Model as a Reproducing Kernel for Non-rigid Image Registration\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_26\n",
      "Training CNNs for Image Registration from Few Samples with Model-based Data Augmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_27\n",
      "Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_24\n",
      "Learning and Incorporating Shape Models for Semantic Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_25\n",
      "Surface-Wise Texture Patch Analysis of Combined MRI and PET to Detect MRI-Negative Focal Cortical Dysplasia\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_22\n",
      "Learning Deep Features for Automated Placement of Correspondence Points on Ensembles of Complex Shapes\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_23\n",
      "Robust Multi-scale Anatomical Landmark Detection in Incomplete 3D-CT Data\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_20\n",
      "Statistical Shape Model of Nested Structures Based on the Level Set\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_21\n",
      "Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_24\n",
      "Personalized Diagnosis for Alzheimers Disease\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_84\n",
      "A Variational Approach to Sparse Model Error Estimation in Cardiac Electrophysiological Imaging\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_26\n",
      "Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_32\n",
      "Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_20\n",
      "A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_51\n",
      "Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_28\n",
      "Multimodal Image Registration with Deep Context Reinforcement Learning\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_29\n",
      "Directional Averages for Motion Segmentation in Discontinuity Preserving Image Registration\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_41\n",
      "Temporal Interpolation of Abdominal MRIs Acquired During Free-Breathing\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_50\n",
      "Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_86\n",
      "Benchmarking Quantitative Imaging Biomarker Measurement Methods Without a Gold Standard\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_32\n",
      "Full Quantification of Left Ventricle via Deep Multitask Learning Network Respecting Intra- and Inter-Task Relatedness\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_35\n",
      "Detection and Characterization of the Fetal Heartbeat in Free-hand Ultrasound Sweeps with Weakly-supervised Two-streams Convolutional Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_28\n",
      "Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_56\n",
      "DARWIN: Deformable Patient Avatar Representation With Deep Image Network\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_9\n",
      "Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_7\n",
      "Two-Stream Bidirectional Long Short-Term Memory for Mitosis Event Detection and Stage Localization in Phase-Contrast Microscopy Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_19\n",
      "Active Learning and Proofreading for Delineation of Curvilinear Structures\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_6\n",
      "Computational Immunohistochemistry: Recipes for Standardization of Immunostaining\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_1\n",
      "Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_39\n",
      "Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_3\n",
      "Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detection\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_18\n",
      "Accurate Correspondence of Cone Photoreceptor Neurons in the Human Eye Using Graph Matching Applied to Longitudinal Adaptive Optics Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_83\n",
      "Short Acquisition Time PET Quantification Using MRI-Based Pharmacokinetic Parameter Synthesis\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_5\n",
      "Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging\n"
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      "http://dx.doi.org/10.1007/978-3-319-66185-8_42\n",
      "Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_38\n",
      "Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_17\n",
      "Histological Detection of High-Risk Benign Breast Lesions from Whole Slide Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_4\n",
      "Cell Encoding for Histopathology Image Classification\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_16\n",
      "Deep Learning for Isotropic Super-Resolution from Non-isotropic 3D Electron Microscopy\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_59\n",
      "DejaVu: Intra-operative Simulation for Surgical Gesture Rehearsal\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_3\n",
      "Neuron Segmentation Using Deep Complete Bipartite Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_34\n",
      "Pathological OCT Retinal Layer Segmentation Using Branch Residual U-Shape Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_15\n",
      "Isotropic Reconstruction of 3D Fluorescence Microscopy Images Using Convolutional Neural Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_2\n",
      "Separation of Transmitted Light and Scattering Components in Transmitted Microscopy\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_35\n",
      "Deformable Image Registration Based on Similarity-Steered CNN Regression\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_34\n",
      "Optimal Transport for Diffeomorphic Registration\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_37\n",
      "Fast Geodesic Regression for Population-Based Image Analysis\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_36\n",
      "Generalised Coherent Point Drift for Group-Wise Registration of Multi-dimensional Point Sets\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_31\n",
      "SVF-Net: Learning Deformable Image Registration Using Shape Matching\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_30\n",
      "\\(\\ell _2\\) Similarity Metrics for Diffusion Multi-Compartment Model Images Registration\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_33\n",
      "Mixed Metric Random Forest for Dense Correspondence of Cone-Beam Computed Tomography Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_32\n",
      "A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_33\n",
      "Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_13\n",
      "Efficient Reconstruction of Holographic Lens-Free Images by Sparse Phase Recovery\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_31\n",
      "Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_30\n",
      "Boundary Regularized Convolutional Neural Network for Layer Parsing of Breast Anatomy in Automated Whole Breast Ultrasound\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_39\n",
      "Parameter Sensitivity Analysis in Medical Image Registration Algorithms Using Polynomial Chaos Expansions\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_38\n",
      "Deformable Registration of a Preoperative 3D Liver Volume to a Laparoscopy Image Using Contour and Shading Cues\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_35\n",
      "Quality Assessment of Echocardiographic Cine Using Recurrent Neural Networks: Feasibility on Five Standard View Planes\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_12\n",
      "Fast Estimation of Haemoglobin Concentration in Tissue Via Wavelet Decomposition\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_74\n",
      "Intra-perinodular Textural Transition (Ipris): A 3D Descriptor for Nodule Diagnosis on Lung CT\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_11\n",
      "Fast Background Removal Method for 3D Multi-channel Deep Tissue Fluorescence Imaging\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_58\n",
      "A Comparative Study of Breast Surface Reconstruction for Aesthetic Outcome Assessment\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_36\n",
      "Retrospective Head Motion Estimation in Structural Brain MRI with 3D CNNs\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_10\n",
      "QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_72\n",
      "Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_26\n",
      "CT Image Enhancement for Feature Detection and Localization\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_27\n",
      "Information Theoretic Measurement of Blood Flow Complexity in Vessels and Aneurysms: Interlacing Complexity Index\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_37\n",
      "TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_70\n",
      "Segmentation-Free Kidney Localization and Volume Estimation Using Aggregated Orthogonal Decision CNNs\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_24\n",
      "Automatic Labeling of Vascular Structures with Topological Constraints via HMM\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_25\n",
      "Biomechanical Patient-Specific Model of the Respiratory System Based on 4D CT Scans and Controlled by Personalized Physiological Compliance\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_9\n",
      "Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_22\n",
      "Anatomy-Driven Modelling of Spatial Correlation for Regularisation of Arterial Spin Labelling Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_8\n",
      "Refocusing Phase Contrast Microscopy Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_41\n",
      "Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_23\n",
      "Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_44\n",
      "Analysis of Periodicity in Video Sequences Through Dynamic Linear Modeling\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_20\n",
      "Tracking the Aortic Lumen Geometry by Optimizing the 3D Orientation of Its Cross-sections\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_45\n",
      "Groupwise Registration of MR Brain Images Containing Tumors via Spatially Constrained Low-Rank Based Image Recovery\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_21\n",
      "BRANCH:Bifurcation Recognition for Airway Navigation based on struCtural cHaracteristics\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_46\n",
      "Deep Correlational Learning for Survival Prediction from Multi-modality Data\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_88\n",
      "Development of a \\(\\upmu \\)CT-based Patient-Specific Model of the Electrically Stimulated Cochlea\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_89\n",
      "Compresso: Efficient Compression of Segmentation Data for Connectomics\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_47\n",
      "Compressed Sensing on Multi-pinhole Collimator SPECT Camera for Sentinel Lymph Node Biopsy\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_1\n",
      "Cell Lineage Tracing in Lens-Free Microscopy Videos\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_25\n",
      "GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_80\n",
      "Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels)\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_81\n",
      "Towards Automatic Semantic Segmentation in Volumetric Ultrasound\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_82\n",
      "Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_83\n",
      "Towards Image-Guided Pancreas and Biliary Endoscopy: Automatic Multi-organ Segmentation on Abdominal CT with Dense Dilated Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_84\n",
      "Holistic Segmentation of Intermuscular Adipose Tissues on Thigh MRI\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_85\n",
      "Spatiotemporal Segmentation and Modeling of the Mitral Valve in Real-Time 3D Echocardiographic Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_86\n",
      "Unbiased Shape Compactness for Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_87\n",
      "Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks\n"
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      "http://dx.doi.org/10.1007/978-3-319-66182-7_7\n",
      "4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_6\n",
      "Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_5\n",
      "Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_4\n",
      "Novel Local Shape-Adaptive Gyrification Index with Application to Brain Development\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_3\n",
      "Holistic Mapping of Striatum Surfaces in the Laplace-Beltrami Embedding Space\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_2\n",
      "Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_1\n",
      "The Active Atlas: Combining 3D Anatomical Models with Texture Detectors\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_43\n",
      "CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_9\n",
      "Longitudinal Modeling of Multi-modal Image Contrast Reveals Patterns of Early Brain Growth\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_8\n",
      "Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_39\n",
      "Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_33\n",
      "Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_28\n",
      "Globally-Optimal Anatomical Tree Extraction from 3D Medical Images Using Pictorial Structures and Minimal Paths\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_29\n",
      "Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_43\n",
      "Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_48\n",
      "Personalized Pancreatic Tumor Growth Prediction via Group Learning\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_49\n",
      "Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_59\n",
      "Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_58\n",
      "Automatic Liver Segmentation Using an Adversarial Image-to-Image Network\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_40\n",
      "Longitudinal Analysis Using Personalised 3D Cardiac Models with Population-Based Priors: Application to Paediatric Cardiomyopathies\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_90\n",
      "Combining Spatial and Non-spatial Dictionary Learning for Automated Labeling of Intra-ventricular Hemorrhage in Neonatal Brain MRI\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_55\n",
      "Hierarchical Multimodal Fusion of Deep-Learned Lesion and Tissue Integrity Features in Brain MRIs for Distinguishing Neuromyelitis Optica from Multiple Sclerosis\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_54\n",
      "Building Disease Detection Algorithms with Very Small Numbers of Positive Samples\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_57\n",
      "Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_56\n",
      "Deep Convolutional Encoder-Decoders for Prostate Cancer Detection and Classification\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_51\n",
      "X-Ray In-Depth Decomposition: Revealing the Latent Structures\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_50\n",
      "SD-Layer: Stain Deconvolutional Layer for CNNs in Medical Microscopic Imaging\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_53\n",
      "Quantification of Metabolites in Magnetic Resonance Spectroscopic Imaging Using Machine Learning\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_52\n",
      "Fast Prospective Detection of Contrast Inflow in X-ray Angiograms with Convolutional Neural Network and Recurrent Neural Network\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_78\n",
      "Modeling Cognitive Trends in Preclinical Alzheimers Disease (AD) via Distributions over Permutations\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_19\n",
      "Integrating Statistical Prior Knowledge into Convolutional Neural Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_18\n",
      "Representative Patch-based Active Appearance Models Generated from Small Training Populations\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_17\n",
      "Adaptable Landmark Localisation: Applying Model Transfer Learning to a Shape Model Matching System\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_16\n",
      "Nonlinear Statistical Shape Modeling for Ankle Bone Segmentation Using a Novel Kernelized Robust PCA\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_15\n",
      "Automatic Landmark Estimation for Adolescent Idiopathic Scoliosis Assessment Using BoostNet\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_14\n",
      "Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_13\n",
      "Learning-Based Multi-atlas Segmentation of the Lungs and Lobes in Proton MR Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_12\n",
      "A 3D Femoral Head Coverage Metric for Enhanced Reliability in Diagnosing Hip Dysplasia\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_11\n",
      "Falx Cerebri Segmentation via Multi-atlas Boundary Fusion\n",
      "http://dx.doi.org/10.1007/978-3-319-66182-7_10\n",
      "Prediction of Brain Network Age and Factors of Delayed Maturation in Very Preterm Infants\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_79\n",
      "A Novel Automatic Segmentation Method to Quantify the Effects of Spinal Cord Injury on Human Thigh Muscles and Adipose Tissue\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_78\n",
      "Convolutional Neural Network and In-Painting Techniques for the Automatic Assessment of Scoliotic Spine Surgery from Biplanar Radiographs\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_29\n",
      "Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_53\n",
      "RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_68\n",
      "Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_69\n",
      "Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_73\n",
      "Learning CNNs with Pairwise Domain Adaption for Real-Time 6DoF Ultrasound Transducer Detection and Tracking from X-Ray Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_60\n",
      "Retinal Microaneurysm Detection Using Clinical Report Guided Multi-sieving CNN\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_61\n",
      "Lesion Detection and Grading of Diabetic Retinopathy via Two-Stages Deep Convolutional Neural Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_62\n",
      "Hashing with Residual Networks for Image Retrieval\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_63\n",
      "Deep Multiple Instance Hashing for Scalable Medical Image Retrieval\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_64\n",
      "Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_65\n",
      "Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_66\n",
      "Liver Lesion Detection Based on Two-Stage Saliency Model with Modified Sparse Autoencoder\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_67\n",
      "Manifold Learning of COPD\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_68\n",
      "Real-Time 3D Ultrasound Reconstruction and Visualization in the Context of Laparoscopy\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_69\n",
      "Improving Needle Detection in 3D Ultrasound Using Orthogonal-Plane Convolutional Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_62\n",
      "Image-Driven Stochastic Identification of Boundary Conditions for Predictive Simulation\n"
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      "http://dx.doi.org/10.1007/978-3-319-66185-8_63\n",
      "Toward Computer-Assisted Planning for Interstitial Laser Ablation of Malignant Brain Tumors Using a Tubular Continuum Robot\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_60\n",
      "An Optimal Control Approach for High Intensity Focused Ultrasound Self-Scanning Treatment Planning\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_61\n",
      "A Mixed-Reality Approach to Radiation-Free Training of C-arm Based Surgery\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_66\n",
      "Deep Neural Networks Predict Remaining Surgery Duration from Cholecystectomy Videos\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_67\n",
      "UV Exposed Optical Fibers with Frequency Domain Reflectometry for Device Tracking in Intra-arterial Procedures\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_64\n",
      "Providing Effective Real-Time Feedback in Simulation-Based Surgical Training\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_65\n",
      "Fully Automatic and Real-Time Catheter Segmentation in X-Ray Fluoroscopy\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_79\n",
      "A Novel Automatic Segmentation Method to Quantify the Effects of Spinal Cord Injury on Human Thigh Muscles and Adipose Tissue\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_78\n",
      "Convolutional Neural Network and In-Painting Techniques for the Automatic Assessment of Scoliotic Spine Surgery from Biplanar Radiographs\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_71\n",
      "Deep Learning for Sensorless 3D Freehand Ultrasound Imaging\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_70\n",
      "Motion-Compensated Autonomous Scanning for Tumour Localisation Using Intraoperative Ultrasound\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_73\n",
      "Learning CNNs with Pairwise Domain Adaption for Real-Time 6DoF Ultrasound Transducer Detection and Tracking from X-Ray Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_72\n",
      "Ultrasonic Needle Tracking with a Fibre-Optic Ultrasound Transmitter for Guidance of Minimally Invasive Fetal Surgery\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_75\n",
      "Concurrent Segmentation and Localization for Tracking of Surgical Instruments\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_74\n",
      "An Approach for Needle Based Optical Coherence Elastography Measurements\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_77\n",
      "Precise Ultrasound Bone Registration with Learning-Based Segmentation and Speed of Sound Calibration\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_76\n",
      "Surgical Soundtracks: Towards Automatic Musical Augmentation of Surgical Procedures\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_44\n",
      "Analysis of Periodicity in Video Sequences Through Dynamic Linear Modeling\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_45\n",
      "Groupwise Registration of MR Brain Images Containing Tumors via Spatially Constrained Low-Rank Based Image Recovery\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_46\n",
      "Deep Correlational Learning for Survival Prediction from Multi-modality Data\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_47\n",
      "Compressed Sensing on Multi-pinhole Collimator SPECT Camera for Sentinel Lymph Node Biopsy\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_40\n",
      "Longitudinal Analysis Using Personalised 3D Cardiac Models with Population-Based Priors: Application to Paediatric Cardiomyopathies\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_41\n",
      "Temporal Interpolation of Abdominal MRIs Acquired During Free-Breathing\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_42\n",
      "Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_43\n",
      "CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_48\n",
      "Personalized Pancreatic Tumor Growth Prediction via Group Learning\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_49\n",
      "Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_53\n",
      "RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_52\n",
      "Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_51\n",
      "Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_50\n",
      "Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_57\n",
      "Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_56\n",
      "DARWIN: Deformable Patient Avatar Representation With Deep Image Network\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_55\n",
      "A Time Saver: Optimization Approach for the Fully Automatic 3D Planning of Forearm Osteotomies\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_54\n",
      "Locally Affine Diffeomorphic Surface Registration for Planning of Metopic Craniosynostosis Surgery\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_59\n",
      "DejaVu: Intra-operative Simulation for Surgical Gesture Rehearsal\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_58\n",
      "A Comparative Study of Breast Surface Reconstruction for Aesthetic Outcome Assessment\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_26\n",
      "CT Image Enhancement for Feature Detection and Localization\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_27\n",
      "Information Theoretic Measurement of Blood Flow Complexity in Vessels and Aneurysms: Interlacing Complexity Index\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_24\n",
      "Automatic Labeling of Vascular Structures with Topological Constraints via HMM\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_25\n",
      "Biomechanical Patient-Specific Model of the Respiratory System Based on 4D CT Scans and Controlled by Personalized Physiological Compliance\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_22\n",
      "Anatomy-Driven Modelling of Spatial Correlation for Regularisation of Arterial Spin Labelling Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_23\n",
      "Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_20\n",
      "Tracking the Aortic Lumen Geometry by Optimizing the 3D Orientation of Its Cross-sections\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_21\n",
      "BRANCH:Bifurcation Recognition for Airway Navigation based on struCtural cHaracteristics\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_28\n",
      "Globally-Optimal Anatomical Tree Extraction from 3D Medical Images Using Pictorial Structures and Minimal Paths\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_29\n",
      "Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_35\n",
      "Detection and Characterization of the Fetal Heartbeat in Free-hand Ultrasound Sweeps with Weakly-supervised Two-streams Convolutional Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_34\n",
      "Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_37\n",
      "Learning-Based Spatiotemporal Regularization and Integration of Tracking Methods for Regional 4D Cardiac Deformation Analysis\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_36\n",
      "Retrospective Head Motion Estimation in Structural Brain MRI with 3D CNNs\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_31\n",
      "Efficient Deformable Motion Correction for 3-D Abdominal MRI Using Manifold Regression\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_30\n",
      "A Localized Statistical Motion Model as a Reproducing Kernel for Non-rigid Image Registration\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_33\n",
      "Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_32\n",
      "Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_39\n",
      "Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_38\n",
      "Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_80\n",
      "OptiC: Robust and Automatic Spinal Cord Localization on a Large Variety of MRI Data Using a Distance Transform Based Global Optimization\n"
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     "text": [
      "http://dx.doi.org/10.1007/978-3-319-66185-8_81\n",
      "Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_82\n",
      "Online Statistical Inference for Large-Scale Binary Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_83\n",
      "Short Acquisition Time PET Quantification Using MRI-Based Pharmacokinetic Parameter Synthesis\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_84\n",
      "A Variational Approach to Sparse Model Error Estimation in Cardiac Electrophysiological Imaging\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_85\n",
      "Data-Driven Rank Aggregation with Application to Grand Challenges\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_86\n",
      "Benchmarking Quantitative Imaging Biomarker Measurement Methods Without a Gold Standard\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_7\n",
      "Two-Stream Bidirectional Long Short-Term Memory for Mitosis Event Detection and Stage Localization in Phase-Contrast Microscopy Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_6\n",
      "Computational Immunohistochemistry: Recipes for Standardization of Immunostaining\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_5\n",
      "Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_4\n",
      "Cell Encoding for Histopathology Image Classification\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_3\n",
      "Neuron Segmentation Using Deep Complete Bipartite Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_2\n",
      "Separation of Transmitted Light and Scattering Components in Transmitted Microscopy\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_1\n",
      "Cell Lineage Tracing in Lens-Free Microscopy Videos\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_9\n",
      "Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_8\n",
      "Refocusing Phase Contrast Microscopy Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_19\n",
      "Active Learning and Proofreading for Delineation of Curvilinear Structures\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_18\n",
      "Accurate Correspondence of Cone Photoreceptor Neurons in the Human Eye Using Graph Matching Applied to Longitudinal Adaptive Optics Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_17\n",
      "Histological Detection of High-Risk Benign Breast Lesions from Whole Slide Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_16\n",
      "Deep Learning for Isotropic Super-Resolution from Non-isotropic 3D Electron Microscopy\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_15\n",
      "Isotropic Reconstruction of 3D Fluorescence Microscopy Images Using Convolutional Neural Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_14\n",
      "Quality Assessment of Retinal Hyperspectral Images Using SURF and Intensity Features\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_13\n",
      "Efficient Reconstruction of Holographic Lens-Free Images by Sparse Phase Recovery\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_12\n",
      "Fast Estimation of Haemoglobin Concentration in Tissue Via Wavelet Decomposition\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_11\n",
      "Fast Background Removal Method for 3D Multi-channel Deep Tissue Fluorescence Imaging\n",
      "http://dx.doi.org/10.1007/978-3-319-66185-8_10\n",
      "QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_9\n",
      "Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_8\n",
      "Unsupervised Feature Learning for Endomicroscopy Image Retrieval\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_1\n",
      "Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_58\n",
      "Automatic Liver Segmentation Using an Adversarial Image-to-Image Network\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_3\n",
      "Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detection\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_2\n",
      "Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_5\n",
      "A Multi-armed Bandit to Smartly Select a Training Set from Big Medical Data\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_4\n",
      "Latent Processes Governing Neuroanatomical Change in Aging and Dementia\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_7\n",
      "An Unbiased Penalty for Sparse Classification with Application to Neuroimaging Data\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_6\n",
      "Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_74\n",
      "Intra-perinodular Textural Transition (Ipris): A 3D Descriptor for Nodule Diagnosis on Lung CT\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_61\n",
      "Lesion Detection and Grading of Diabetic Retinopathy via Two-Stages Deep Convolutional Neural Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_76\n",
      "Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_59\n",
      "Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_77\n",
      "Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_39\n",
      "Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_38\n",
      "BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_65\n",
      "Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_33\n",
      "Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_32\n",
      "Full Quantification of Left Ventricle via Deep Multitask Learning Network Respecting Intra- and Inter-Task Relatedness\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_31\n",
      "Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_30\n",
      "Boundary Regularized Convolutional Neural Network for Layer Parsing of Breast Anatomy in Automated Whole Breast Ultrasound\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_37\n",
      "TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_36\n",
      "Semi-supervised Deep Learning for Fully Convolutional Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_35\n",
      "Quality Assessment of Echocardiographic Cine Using Recurrent Neural Networks: Feasibility on Five Standard View Planes\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_34\n",
      "Pathological OCT Retinal Layer Segmentation Using Branch Residual U-Shape Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_11\n",
      "DOTE: Dual cOnvolutional filTer lEarning for Super-Resolution and Cross-Modality Synthesis in MRI\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_10\n",
      "Liver Tissue Classification in Patients with Hepatocellular Carcinoma by Fusing Structured and Rotationally Invariant Context Representation\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_13\n",
      "GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_12\n",
      "Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_15\n",
      "Pattern Visualization and Recognition Using Tensor Factorization for Early Differential Diagnosis of Parkinsonism\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_14\n",
      "MRI-Based Surgical Planning for Lumbar Spinal Stenosis\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_17\n",
      "Segmentation of Cortical and Subcortical Multiple Sclerosis Lesions Based on Constrained Partial Volume Modeling\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_16\n",
      "Physiological Parameter Estimation from Multispectral Images Unleashed\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_19\n",
      "Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_18\n",
      "Classification of Pancreatic Cysts in Computed Tomography Images Using a Random Forest and Convolutional Neural Network Ensemble\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_57\n"
     ]
    },
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     "output_type": "stream",
     "text": [
      "Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_56\n",
      "Deep Convolutional Encoder-Decoders for Prostate Cancer Detection and Classification\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_51\n",
      "X-Ray In-Depth Decomposition: Revealing the Latent Structures\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_50\n",
      "SD-Layer: Stain Deconvolutional Layer for CNNs in Medical Microscopic Imaging\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_53\n",
      "Quantification of Metabolites in Magnetic Resonance Spectroscopic Imaging Using Machine Learning\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_52\n",
      "Fast Prospective Detection of Contrast Inflow in X-ray Angiograms with Convolutional Neural Network and Recurrent Neural Network\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_71\n",
      "Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_72\n",
      "Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_67\n",
      "Manifold Learning of COPD\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_70\n",
      "Segmentation-Free Kidney Localization and Volume Estimation Using Aggregated Orthogonal Decision CNNs\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_79\n",
      "Does Manual Delineation only Provide the Side Information in CT Prostate Segmentation?\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_73\n",
      "CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_55\n",
      "Hierarchical Multimodal Fusion of Deep-Learned Lesion and Tissue Integrity Features in Brain MRIs for Distinguishing Neuromyelitis Optica from Multiple Sclerosis\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_75\n",
      "Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_64\n",
      "Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_66\n",
      "Liver Lesion Detection Based on Two-Stage Saliency Model with Modified Sparse Autoencoder\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_54\n",
      "Building Disease Detection Algorithms with Very Small Numbers of Positive Samples\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_78\n",
      "Modeling Cognitive Trends in Preclinical Alzheimers Disease (AD) via Distributions over Permutations\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_62\n",
      "Hashing with Residual Networks for Image Retrieval\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_63\n",
      "Deep Multiple Instance Hashing for Scalable Medical Image Retrieval\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_28\n",
      "Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_29\n",
      "Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_24\n",
      "Personalized Diagnosis for Alzheimers Disease\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_25\n",
      "GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_26\n",
      "Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_27\n",
      "Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_20\n",
      "A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_21\n",
      "Spectral Graph Convolutions for Population-Based Disease Prediction\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_22\n",
      "Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain Representation\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_23\n",
      "Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimers Disease\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_68\n",
      "Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_69\n",
      "Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_60\n",
      "Retinal Microaneurysm Detection Using Clinical Report Guided Multi-sieving CNN\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_48\n",
      "Medical Image Synthesis with Context-Aware Generative Adversarial Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_49\n",
      "Joint Detection and Diagnosis of Prostate Cancer in Multi-parametric MRI Based on Multimodal Convolutional Neural Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_46\n",
      "Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_47\n",
      "Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_44\n",
      "Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_45\n",
      "Synergistic Combination of Learned and Hand-Crafted Features for Prostate Lesion Classification in Multiparametric Magnetic Resonance Imaging\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_42\n",
      "Clinical Target-Volume Delineation in Prostate Brachytherapy Using Residual Neural Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_43\n",
      "Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_40\n",
      "Robust Multi-modal MR Image Synthesis\n",
      "http://dx.doi.org/10.1007/978-3-319-66179-7_41\n",
      "Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks\n",
      "http://dx.doi.org/10.1007/978-3-319-10470-6_58\n",
      "Modeling the Variability in Brain Morphology and Lesion Distribution in Multiple Sclerosis by Deep Learning\n",
      "http://dx.doi.org/10.1007/978-3-319-10470-6_39\n",
      "Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features\n",
      "http://dx.doi.org/10.1007/978-3-319-10443-0_39\n",
      "Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis\n",
      "https://doi.org/10.1007/978-3-319-24553-9_5\n",
      "q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans\n",
      "https://doi.org/10.1007/978-3-319-24553-9_63\n",
      "Automatic Localization and Identification of Vertebrae in Spine CT via a Joint Learning Model with Deep Neural Networks\n",
      "https://doi.org/10.1007/978-3-319-24553-9_69\n",
      "3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data\n",
      "https://doi.org/10.1007/978-3-319-24553-9_70\n",
      "A Hybrid of Deep Network and Hidden Markov Model for MCI Identification with Resting-State fMRI\n",
      "https://doi.org/10.1007/978-3-319-24553-9_74\n",
      "Deep Learning and Structured Prediction for the Segmentation of Mass in Mammograms\n",
      "https://doi.org/10.1007/978-3-319-24553-9_83\n",
      "Cross-Domain Synthesis of Medical Images Using Efficient Location-Sensitive Deep Network\n",
      "https://doi.org/10.1007/978-3-319-24553-9_87\n",
      "Marginal Space Deep Learning: Efficient Architecture for Detection in Volumetric Image Data\n",
      "https://doi.org/10.1007/978-3-319-24571-3_3\n",
      "Detection of Glands and Villi by Collaboration of Domain Knowledge and Deep Learning\n",
      "https://doi.org/10.1007/978-3-319-24571-3_9\n",
      "Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks\n",
      "https://doi.org/10.1007/978-3-319-24574-4_1\n",
      "Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation\n",
      "https://doi.org/10.1007/978-3-319-24574-4_27\n",
      "Neutrophils Identification by Deep Learning and Voronoi Diagram of Clusters\n",
      "https://doi.org/10.1007/978-3-319-24574-4_78\n",
      "Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models\n",
      "https://doi.org/10.1007/978-3-319-24574-4_80\n",
      "Automatic Feature Learning for Glaucoma Detection Based on Deep Learning\n",
      "https://doi.org/10.1007/978-3-319-24574-4_81\n",
      "Fast Automatic Vertebrae Detection and Localization in Pathological CT Scans - A Deep Learning Approach\n"
     ]
    },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://doi.org/10.1007/978-3-319-24553-9_72\n",
      "Automatic Coronary Calcium Scoring in Cardiac CT Angiography Using Convolutional Neural Networks\n",
      "https://doi.org/10.1007/978-3-319-24571-3_8\n",
      "Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks\n",
      "https://doi.org/10.1007/978-3-319-24574-4_28\n",
      "U-Net: Convolutional Networks for Biomedical Image Segmentation\n",
      "https://doi.org/10.1007/978-3-319-24574-4_43\n",
      "Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network\n",
      "https://doi.org/10.1007/978-3-319-24553-9_62\n",
      "Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks\n",
      "done\n"
     ]
    }
   ],
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    "allComments = [] # combine with year into shortDetails\n",
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    "#added at pandas level\n",
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    "\n",
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    "    return authors[idx].text.replace(u'\\xa0', u' ').encode('ascii','ignore')\n",
    "\n",
    "searchWords = [\"deep\", \"encoder\" , \"learning\", \"convolutional\", \"neural\" , \"cnn\", 'recurrent' , 'adversarial' , \"rnn\"]\n",
    "\n",
    "for url in urls:\n",
    "    try:\n",
    "        print url\n",
    "        # fetch url\n",
    "        response1 = urllib2.urlopen(url)\n",
    "        # convert to bs\n",
    "        soup1 = bs.BeautifulSoup(response1,\"html\")\n",
    "\n",
    "        # 1 get title\n",
    "        titles = soup1.findAll(\"h1\", { \"class\" : \"ChapterTitle\" })\n",
    "        title = titles[0].text.replace(u'\\xa0', u' ').encode('ascii','ignore')\n",
    "        print title\n",
    "        time.sleep(1)\n",
    "        \n",
    "        # check if we want it\n",
    "        if any ( word in title.lower() for word in searchWords  ):\n",
    "            \n",
    "            # 1 get title\n",
    "            allTitles.append( title  )\n",
    "            # 2 get authors\n",
    "            authors = soup1.findAll(\"span\", { \"class\" : \"authors__name\" })\n",
    "            authorString = getName(authors,0)\n",
    "            for j in range(1,len(authors)):\n",
    "                authorString += ', ' + getName(authors,j)\n",
    "            allAuthors.append(authorString+'.')\n",
    "            # 3 get all fullURLs\n",
    "            allFullURLs.append ( url )\n",
    "            # 4 get emails \n",
    "            emails = soup1.findAll(\"a\", {\"class\" : \"gtm-email-author\"})\n",
    "            if len(emails) == 0:\n",
    "                allEmails.append([])\n",
    "            else:\n",
    "                allEmails.append([emails[0]['title']])\n",
    "            # 5 get year\n",
    "            year = soup1.findAll(\"a\", { \"class\" : \"gtm-book-link\" })\n",
    "            yr = year[0].text[year[0].text.strip().find('201')\n",
    "                               :\n",
    "                               year[0].text.strip().find('201')+4] \n",
    "            allYears.append(int(yr))\n",
    "            # 6 get use based on year\n",
    "            allUses.append(1)  \n",
    "            # 7 get abstracts\n",
    "            abstracts = soup1.find_all(\"p\" , {'class' : 'Para' })\n",
    "            if len(abstracts) == 0:\n",
    "                allAbstracts.append(\"\")\n",
    "            else:\n",
    "                allAbstracts.append( abstracts[0].text.replace(u'\\xa0', u' ').encode('ascii','ignore').rstrip() )  \n",
    "            \n",
    "            # 8 get comments\n",
    "            allComments.append(year[0].text.replace(u'\\xa0', u' ').encode('ascii','ignore'))\n",
    "\n",
    "            time.sleep(1)\n",
    "        \n",
    "    except urllib2.HTTPError:\n",
    "        print url + \" no http\"\n",
    "        pass\n",
    "\n",
    "print \"done\"\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "246\n",
      "246\n",
      "246\n",
      "246\n",
      "246\n",
      "246\n",
      "246\n",
      "246\n",
      "0\n"
     ]
    }
   ],
   "source": [
    "lista = [allTitles,allAuthors,allFullURLs,allComments,allYears,allAbstracts,allEmails,allUses,allPdfURLs]\n",
    "for lis in iter(lista):\n",
    "    print len(lis)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "allComments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "urls[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Title</th>\n",
       "      <th>Description</th>\n",
       "      <th>ShortDetails</th>\n",
       "      <th>abstract</th>\n",
       "      <th>email</th>\n",
       "      <th>fullURL</th>\n",
       "      <th>source</th>\n",
       "      <th>year</th>\n",
       "      <th>key</th>\n",
       "      <th>use</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Deep Learning Computed Tomography</td>\n",
       "      <td>Tobias Wrfl, Florin C. Ghesu, Vincent Christle...</td>\n",
       "      <td>Medical Image Computing and Computer-Assisted ...</td>\n",
       "      <td>In this paper, we demonstrate that image recon...</td>\n",
       "      <td>[wuerflts@outlook.com]</td>\n",
       "      <td>http://dx.doi.org/10.1007/978-3-319-46726-9_50</td>\n",
       "      <td>miccai</td>\n",
       "      <td>2016</td>\n",
       "      <td>9e55d494-b7ac-41a5-be04-dc0ce103287f</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Compressed Sensing Dynamic MRI Reconstruction ...</td>\n",
       "      <td>Tran Minh Quan, Won-Ki Jeong.</td>\n",
       "      <td>Medical Image Computing and Computer-Assisted ...</td>\n",
       "      <td>In this paper, we introduce a fast alternating...</td>\n",
       "      <td>[wkjeong@unist.ac.kr]</td>\n",
       "      <td>http://dx.doi.org/10.1007/978-3-319-46726-9_56</td>\n",
       "      <td>miccai</td>\n",
       "      <td>2016</td>\n",
       "      <td>6886df87-3ed1-40d7-a6e4-07c4dd1847b1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Learning-Based Topological Correction for Infa...</td>\n",
       "      <td>Shijie Hao, Gang Li, Li Wang, Yu Meng, Dinggan...</td>\n",
       "      <td>Medical Image Computing and Computer-Assisted ...</td>\n",
       "      <td>Reconstruction of topologically correct and ac...</td>\n",
       "      <td>[dgshen@med.unc.edu]</td>\n",
       "      <td>http://dx.doi.org/10.1007/978-3-319-46720-7_26</td>\n",
       "      <td>miccai</td>\n",
       "      <td>2016</td>\n",
       "      <td>a14e3e55-bba2-43e8-9fda-1a197c013b1b</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A Hybrid Multishape Learning Framework for Lon...</td>\n",
       "      <td>Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen...</td>\n",
       "      <td>Medical Image Computing and Computer-Assisted ...</td>\n",
       "      <td>Dramatic changes of the human brain during the...</td>\n",
       "      <td>[dgshen@med.unc.edu]</td>\n",
       "      <td>http://dx.doi.org/10.1007/978-3-319-46720-7_25</td>\n",
       "      <td>miccai</td>\n",
       "      <td>2016</td>\n",
       "      <td>c1700478-be59-420d-88fb-b5dcbd8875ea</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7T-Guided Learning Framework for Improving the...</td>\n",
       "      <td>Khosro Bahrami, Islem Rekik, Feng Shi, Yaozong...</td>\n",
       "      <td>Medical Image Computing and Computer-Assisted ...</td>\n",
       "      <td>The emerging era of ultra-high-field MRI using...</td>\n",
       "      <td>[dinggang_shen@med.unc.edu]</td>\n",
       "      <td>http://dx.doi.org/10.1007/978-3-319-46723-8_66</td>\n",
       "      <td>miccai</td>\n",
       "      <td>2016</td>\n",
       "      <td>f348f9dd-d412-491c-ab55-530a27ff0cf0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Title  \\\n",
       "0                  Deep Learning Computed Tomography   \n",
       "1  Compressed Sensing Dynamic MRI Reconstruction ...   \n",
       "2  Learning-Based Topological Correction for Infa...   \n",
       "3  A Hybrid Multishape Learning Framework for Lon...   \n",
       "4  7T-Guided Learning Framework for Improving the...   \n",
       "\n",
       "                                         Description  \\\n",
       "0  Tobias Wrfl, Florin C. Ghesu, Vincent Christle...   \n",
       "1                      Tran Minh Quan, Won-Ki Jeong.   \n",
       "2  Shijie Hao, Gang Li, Li Wang, Yu Meng, Dinggan...   \n",
       "3  Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen...   \n",
       "4  Khosro Bahrami, Islem Rekik, Feng Shi, Yaozong...   \n",
       "\n",
       "                                        ShortDetails  \\\n",
       "0  Medical Image Computing and Computer-Assisted ...   \n",
       "1  Medical Image Computing and Computer-Assisted ...   \n",
       "2  Medical Image Computing and Computer-Assisted ...   \n",
       "3  Medical Image Computing and Computer-Assisted ...   \n",
       "4  Medical Image Computing and Computer-Assisted ...   \n",
       "\n",
       "                                            abstract  \\\n",
       "0  In this paper, we demonstrate that image recon...   \n",
       "1  In this paper, we introduce a fast alternating...   \n",
       "2  Reconstruction of topologically correct and ac...   \n",
       "3  Dramatic changes of the human brain during the...   \n",
       "4  The emerging era of ultra-high-field MRI using...   \n",
       "\n",
       "                         email  \\\n",
       "0       [wuerflts@outlook.com]   \n",
       "1        [wkjeong@unist.ac.kr]   \n",
       "2         [dgshen@med.unc.edu]   \n",
       "3         [dgshen@med.unc.edu]   \n",
       "4  [dinggang_shen@med.unc.edu]   \n",
       "\n",
       "                                          fullURL  source  year  \\\n",
       "0  http://dx.doi.org/10.1007/978-3-319-46726-9_50  miccai  2016   \n",
       "1  http://dx.doi.org/10.1007/978-3-319-46726-9_56  miccai  2016   \n",
       "2  http://dx.doi.org/10.1007/978-3-319-46720-7_26  miccai  2016   \n",
       "3  http://dx.doi.org/10.1007/978-3-319-46720-7_25  miccai  2016   \n",
       "4  http://dx.doi.org/10.1007/978-3-319-46723-8_66  miccai  2016   \n",
       "\n",
       "                                    key  use  \n",
       "0  9e55d494-b7ac-41a5-be04-dc0ce103287f    1  \n",
       "1  6886df87-3ed1-40d7-a6e4-07c4dd1847b1    1  \n",
       "2  a14e3e55-bba2-43e8-9fda-1a197c013b1b    1  \n",
       "3  c1700478-be59-420d-88fb-b5dcbd8875ea    1  \n",
       "4  f348f9dd-d412-491c-ab55-530a27ff0cf0    1  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame()\n",
    "# those that match pubmed\n",
    "df['Title'] = allTitles\n",
    "df['Description'] = allAuthors\n",
    "df['ShortDetails'] = allComments\n",
    "df['abstract'] =   allAbstracts\n",
    "df['email'] =  [ email for email in allEmails ]\n",
    "df['fullURL'] = allFullURLs                                                                          \n",
    "df['source'] = ['miccai' for x in range(len(allYears ))]                                                            \n",
    "df['year'] = allYears\n",
    "df['key'] = [str(uuid.uuid4()) for x in range(len(allYears ))]\n",
    "df['use'] = allUses\n",
    "# extra one\n",
    "\n",
    "    \n",
    "df.head(n=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# saves directly in react repo\n",
    "df.to_json( 'miccai_result.json' ,\"records\")\n",
    "# then need to add\n",
    "# var Data1 = ....\n",
    "# export default Data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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    "name": "ipython",
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